scholarly journals Framework for a Symmetric Integration Approach

Symmetry ◽  
2019 ◽  
Vol 11 (2) ◽  
pp. 224
Author(s):  
Mihaela Muntean ◽  
Claudiu Brândaş ◽  
Tanita Cîrstea
Keyword(s):  
Data Integration ◽  
Open Data ◽  
Application Integration ◽  
Cloud Environment ◽  
Integration Framework ◽  
Symmetry Approach ◽  
Integration Approach ◽  
Implementation Aspects

An Application-to-Application integration framework in the cloud environment is proposed. The methodological demarche is developed using a data symmetry approach. Implementation aspects of integration considered the Open Data Protocol (OData) service as an integrator. An important issue in the cloud environment is to integrate and ensure the quality of transferred and processed data. An efficient way of ensuring the completeness and integrity of data transferred between different applications and systems is the symmetry of data integration. With these considerations, the integration of SAP Hybris Cloud for Customer with S/4 HANA Cloud was implemented.

scholarly journals Framework for WASH Sector Data Improvements in Data-Poor Environments, Applied to Accra, Ghana

Water ◽  
2018 ◽  
Vol 10 (9) ◽  
pp. 1278
Author(s):  
Rembrandt H. E. M. Koppelaar ◽  
May N. Sule ◽  
Zoltán Kis ◽  
Foster K. Mensah ◽  
Xiaonan Wang ◽  
...  
Keyword(s):  
Data Integration ◽  
Day Treatment ◽  
Open Data ◽  
Data Availability ◽  
Treated Wastewater ◽  
Data Sets ◽  
Infrastructure Development ◽  
Integration Framework ◽  
Modelling Methodology ◽  
Level Of Understanding

Improvements in water, sanitation and hygiene (WASH) service provision are hampered by limited open data availability. This paper presents a data integration framework, collects the data and develops a material flow model, which aids data-based policy and infrastructure development for the WASH sector. This model provides a robust quantitative mapping of the complete anthropogenic WASH flow-cycle: from raw water intake to water use, wastewater and excreta generation, discharge and treatment. This approach integrates various available sources using a process-chain bottom-up engineering approach to improve the quality of WASH planning. The data integration framework and the modelling methodology are applied to the Greater Accra Metropolitan Area (GAMA), Ghana. The highest level of understanding of the GAMA WASH sector is achieved, promoting scenario testing for future WASH developments. The results show 96% of the population had access to improved safe water in 2010 if sachet and bottled water was included, but only 67% if excluded. Additionally, 66% of 338,000 m3 per day of generated wastewater is unsafely disposed locally, with 23% entering open drains, and 11% sewage pipes, indicating poor sanitation coverage. Total treated wastewater is <0.5% in 2014, with only 18% of 43,000 m3 per day treatment capacity operational. The combined data sets are made available to support research and sustainable development activities.

Government Open Data and Sensing Data Integration Framework for Smart Construction Site Management

2019 ◽  
Author(s):  
Chiu-Ming Lee ◽  
Wei-Liang Kuo ◽  
Tzu-Jan Tung ◽  
Bo-Kai Huang ◽  
Shu-Hsiang Hsu ◽  
...  
Keyword(s):  
Data Integration ◽  
Open Data ◽  
Construction Site ◽  
Site Management ◽  
Integration Framework ◽  
Sensing Data

Workflow Scheduling for Scientific Application in Homogeneous Cloud Environment

2017 ◽  
Vol 7 (7) ◽  
pp. 137
Author(s):  
. Monika ◽  
Pardeep Kumar ◽  
Sanjay Tyagi
Keyword(s):  
Cloud Computing ◽  
Big Data ◽  
Large Data ◽  
Workflow Scheduling ◽  
Cloud Environment ◽  
Computing Environment ◽  
Scientific Application ◽  
Cloud Computing Environment ◽  
Flow Of Information

In Cloud computing environment QoS i.e. Quality-of-Service and cost is the key element that to be take care of. As, today in the era of big data, the data must be handled properly while satisfying the request. In such case, while handling request of large data or for scientific applications request, flow of information must be sustained. In this paper, a brief introduction of workflow scheduling is given and also a detailed survey of various scheduling algorithms is performed using various parameter.

scholarly journals Q-Learnheuristics: Towards Data-Driven Balanced Metaheuristics

Mathematics ◽  
2021 ◽  
Vol 9 (16) ◽  
pp. 1839
Author(s):  
Broderick Crawford ◽  
Ricardo Soto ◽  
José Lemus-Romani ◽  
Marcelo Becerra-Rozas ◽  
José M. Lanza-Gutiérrez ◽  
...  
Keyword(s):  
Combinatorial Problems ◽  
Set Covering ◽  
Covering Problem ◽  
Integration Framework ◽  
Q Learning ◽  
Whale Optimization ◽  
Sine Cosine Algorithm ◽  
Exploration Exploitation ◽  
Selection Of

One of the central issues that must be resolved for a metaheuristic optimization process to work well is the dilemma of the balance between exploration and exploitation. The metaheuristics (MH) that achieved this balance can be called balanced MH, where a Q-Learning (QL) integration framework was proposed for the selection of metaheuristic operators conducive to this balance, particularly the selection of binarization schemes when a continuous metaheuristic solves binary combinatorial problems. In this work the use of this framework is extended to other recent metaheuristics, demonstrating that the integration of QL in the selection of operators improves the exploration-exploitation balance. Specifically, the Whale Optimization Algorithm and the Sine-Cosine Algorithm are tested by solving the Set Covering Problem, showing statistical improvements in this balance and in the quality of the solutions.

scholarly journals Geospatial Open Data Usage and Metadata Quality

2021 ◽  
Vol 10 (1) ◽  
pp. 30
Author(s):  
Alfonso Quarati ◽  
Monica De Martino ◽  
Sergio Rosim
Keyword(s):  
Spatial Information ◽  
Open Data ◽  
Poor Quality ◽  
Data Usage ◽  
Open Government Data ◽  
Metadata Quality ◽  
Geospatial Datasets ◽  
Government Data ◽  
Determining Factor

The Open Government Data portals (OGD), thanks to the presence of thousands of geo-referenced datasets, containing spatial information are of extreme interest for any analysis or process relating to the territory. For this to happen, users must be enabled to access these datasets and reuse them. An element often considered as hindering the full dissemination of OGD data is the quality of their metadata. Starting from an experimental investigation conducted on over 160,000 geospatial datasets belonging to six national and international OGD portals, this work has as its first objective to provide an overview of the usage of these portals measured in terms of datasets views and downloads. Furthermore, to assess the possible influence of the quality of the metadata on the use of geospatial datasets, an assessment of the metadata for each dataset was carried out, and the correlation between these two variables was measured. The results obtained showed a significant underutilization of geospatial datasets and a generally poor quality of their metadata. In addition, a weak correlation was found between the use and quality of the metadata, not such as to assert with certainty that the latter is a determining factor of the former.

scholarly journals Quality of Metadata in Open Data Portals

IEEE Access ◽  
2021 ◽  
pp. 1-1
Author(s):  
Javier Nogueras-Iso ◽  
Javier Lacasta ◽  
Manuel A. Urena-Camara ◽  
F. Javier Ariza-Lopez
Keyword(s):  
Open Data

COMPREHENSIVE ANALYSIS OF THE OIL RESOURCE MARKET AND ASSESSMENT OF ITS IMPACT ON OIL PRODUCING COMPANIES

2021 ◽  
Vol 1 (181) ◽  
pp. 173-179
Author(s):  
Ya.K. Litonin ◽  
Keyword(s):  
Open Data ◽  
Financial Statements ◽  
Comprehensive Analysis ◽  
Analysis And Evaluation

The article analyzes the oilfield services market, deduces its main trends, considers the issue of increasing the efficiency and quality of oilfield services. The prospects for the development of oil service divisions in oil producing companies are assessed. Analysis and evaluation are carried out based on financial statements, as well as open data from official websites.

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